DOE-I Basic Design of Experiments (The Taguchi Approach)

DOE-I Basic Design of Experiments (The Taguchi Approach)
اسم المؤلف
Nutek, Inc
5 مارس 2015

DOE-I Basic Design of Experiments (The Taguchi Approach)
Nutek, Inc.
Quality Engineering Seminar and Software
Bloomfield Hills, MI, USA
• Overviews
Standard Experiment Designs
• Basic principles of DOE and orthogonal arrays experiments
• Simple example showing experiment planning, design, and analysis of results
• Experiment planning steps
Interaction Studies
• Understanding interactions
• Scopes of interaction studies and its effect on experiment design
• Designing experiment to study interaction & Effect of interaction on the conduct of
• Analyses for presence and significance of interaction
• Corrective actions for significant interactions
Mixed Level Factor Design
• Upgrading & Downgrading column levels
• Scopes of array modifications
• Factor level compatibility requirements & Combination designs
Design and Analysis Tasks using Software
• Experiment designs
• Analysis tasks
Table of Contents
Module-1: Overview and Approach
Role of DOE in Product Quality Improvement
What is The Taguchi Approach and who is Taguchi ?
1.3 New Philosophy and Attitude Toward Quality
New Ways to Work Together for Project Applications
New Definition for Quality of Performance
New Way for Quantification of Improvement (The Loss Function)
New Methods for Experiment Design and Analysis
Seminar Objectives and Contents
Key Points in the Taguchi Approach
Review Questions 1-17-18
Module-2: Experiments Using Standard Orthogonal Arrays
Basic Concept in Design of Experiments (DOE)
Experiment Designs with 2-Level Factors
Full Factorial Experiment Design With Seven 2-Level Factors
Sample Demonstration of Experiment Design and Analysis
Example 1: Plastic Molding Process Study
Steps for Experiment Planning (Brainstorming)
Results with Multiple Criteria of Evaluation
Experiment Designs with Larger Number of Factors
Common Terms and their Definitions
Accuracy of Orthogonal Array Experiments (An Empirical Verification)
Learning Check List and Application Tasks
Review Questions
Practice Problems
Module-3: Interaction Studies
Understanding Interaction Effects Among Factors
Identification of Columns of Localized Interaction
Guidelines for Experiment Designs for Interaction Studies
Steps in Interaction Analysis
Prediction of Optimum Condition with Interaction Corrections
Review Questions
Practice Problems
Module-4: Experiment Designs with Mixed Level Factors
Modification of Standard Orthogonal Arrays
Upgrading Three 2-Level Columns to 4-Level Column
Downgrading Columns
Incompatible Factor Levels
Combination Design (Special Technique)
Review Questions
Practice Problems
(Modules 5, 6 & 7 are part of DOE-II Seminar)
Module-8: Application Steps
Description of Application Phases
Considerations for Experiment Planning (Brainstorming)
Opportunities for the Overall Evaluation Criteria (OEC)
Attributes of Taguchi Approach and Classical DOE
Application and Analysis Check List
Review Questions & Practice Problems
Reference Materials (Appendix): Arrays, TT, References, Application Guidelines,
Case Study, Answers, Course Evaluation
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